2070747-Lead Assistant Manager

EXL; Ahmedabad District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

EXL is seeking a Lead Assistant Manager/Senior Consultant to drive marketing analytics for a leading banking client. The role requires advanced SAS, SQL, and Tableau skills to deliver data-driven insights that enhance campaign performance and business outcomes.

Responsibilities include designing strategies, building audiences, applying AI/ML modeling, and presenting high-impact findings to stakeholders. Evening shifts and relocation to Gurugram or Ahmedabad are expected.

Qualifications

• MBA or Bachelor's in Computer Science, Data Science, or related field.
• 6+ years of analytics experience with at least 4 years hands-on SAS/SQL/Python for data analysis.
• Strong communication skills to translate complex data insights for technical and non-technical audiences.

Responsibilities

• Lead marketing analytics initiatives for a banking client.
• Design and implement data-driven marketing strategies from campaign data.
• Provide executive-level presentations and ad hoc reports.

Skills

SAS

SQL

Tableau

Python

AI/ML

Data analysis

Stakeholder communication

Education

MBA or Bachelor's in CS/DS

Tools

Snowflake

Excel

Job description

Job Description:

Job Title: Lead Assistant Manager Job Type: Full-time Job Summary We are looking for an experienced Senior Consultant with advanced proficiency in SAS, SQL, and Tableau to lead marketing analytics initiatives for a leading banking client. This role involves close collaboration with cross‑functional teams and stakeholders to deliver strategic insights and data‑driven recommendations that enhance marketing performance and business outcomes.

Key Responsibilities

Marketing Strategy, Campaign Analysis, and Performance Reporting Design and implement data‑driven marketing strategies for banking products by analyzing historical campaign data. Build and refine targeted campaign audiences aligned with approved marketing strategies. Leverage AI/ML models to optimize campaign performance and maximize return on investment. Conduct in‑depth data analysis using SAS to uncover trends, patterns, and actionable insights, including: Customer segmentation using decision tree methodologies Statistical A/B testing to evaluate campaign effectiveness Translate business requirements into clear technical specifications and deliver robust, data‑backed solutions. Prepare and present high‑impact executive‑level presentations and ad hoc reports tailored to various stakeholder groups Stakeholder Engagement Collaborate effectively with internal teams to gather inputs and ensure alignment and consistency across all deliverables. Communicate complex analytical insights clearly and concisely to both technical and non‑technical stakeholders, fostering informed decision‑making. Project & Action Tracking Oversee project timelines and ensure timely execution of key deliverables and milestones. Work cross‑functionally to monitor progress, resolve roadblocks, and provide regular updates to stakeholders. Attention to Detail Demonstrate a meticulous approach to data handling, ensuring high levels of accuracy and reliability. Manage multiple projects simultaneously with minimal supervision, maintaining quality and consistency across tasks.

Required Skills & Qualifications

MBA or a bachelor’s degree in computer science, Data Science, or a related field. Minimum of 6 years of experience in the analytics domain. At least 4 years of hands‑on experience with SAS, SQL, or Python for data analysis. Strong analytical mindset with excellent problem‑solving skills and attention to detail. Exceptional communication skills with the ability to convey complex data insights to both technical and non‑technical audiences. In‑depth understanding of the BFSI domain is essential. Experience with AI/ML modeling techniques. Demonstrated ability to independently manage data structuring and analytical tasks. Conduct deep‑divine analyses to support strategic decision‑making, process improvements, and performance optimization. Identify and implement opportunities for automation and efficiency in data collection and reporting workflows. Bonus: Experience with SAS or Snowflake automation in data environments. Bonus: Exposure to personal loan marketing or product analytics.

Additional Requirements

Must be available to work during evening shifts. Willingness to relocate and work from the office in either Gurugram or Ahmedabad.